21 citations · 23 across the 4 of their papers we have counts for
5 papers
dtreg: Describing Data Analysis in Machine-Readable Format in Python and R
Olga Lezhnina, Manuel Prinz, Markus Stocker
For scientific knowledge to be findable, accessible, interoperable, and reusable, it needs to be machine-readable. Moving forward from post-publication extraction of knowledge, we…
Towards a Rosetta Stone for (meta)data: Learning from natural language to improve semantic and cognitive interoperability
Lars Vogt, Marcel Konrad, Manuel Prinz
In order to effectively manage the overwhelming influx of data, it is crucial to ensure that data is findable, accessible, interoperable, and reusable (FAIR). While ontologies and…
Knowledge Graph Building Blocks: An easy-to-use Framework for developing FAIREr Knowledge Graphs
Lars Vogt, Marcel Konrad, Manuel Prinz
Knowledge graphs and ontologies provide promising technical solutions for implementing the FAIR Principles for Findable, Accessible, Interoperable, and Reusable data and metadata.…
Open Research Knowledge Graph:A System Walkthrough
Mohamad Yaser Jaradeh, Allard Oelen, Manuel Prinz +2
Despite improved digital access to scholarly literature in the last decades, the fundamental principles of scholarly communication remain unchanged and continue to be largely docum…
Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge
Mohamad Yaser Jaradeh, Allard Oelen, Kheir Eddine Farfar +5
Despite improved digital access to scholarly knowledge in recent decades, scholarly communication remains exclusively document-based. In this form, scholarly knowledge is hard to p…